Residential Land Price of Qingdao City Based on GWR Model Study on Spatial Differentiation and Influencing Factors
- DOI
- 10.2991/978-94-6463-658-1_74How to use a DOI?
- Keywords
- Qingdao residential land price; spatial variation; GWR model
- Abstract
This paper studies the spatial differentiation of Qingdao, and the analysis is carried out based on the GWR model. Firstly, the research scope and data are determined, and then the exploratory spatial analysis (ESDA) method is used to analyze the residential land price data of Qingdao, including the establishment of histogram, spatial trend analysis and spatial autocorrelation analysis. Finally, Using GWR4.0 to determine the bandwidth and weight, then a geographically weighted regression (GWR) model can be established, which can be used to analyze the influencing factors of residential land price. The results show that the building density is inversely proportional to the price of urban residential land, and the green rate and floor area ratio are directly proportional to the price of residential land.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenqi Kang PY - 2025 DA - 2025/03/03 TI - Residential Land Price of Qingdao City Based on GWR Model Study on Spatial Differentiation and Influencing Factors BT - Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024) PB - Atlantis Press SP - 730 EP - 737 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-658-1_74 DO - 10.2991/978-94-6463-658-1_74 ID - Kang2025 ER -